Source: Foundations of Computational Intelligence, 2007. FOCI 2007. IEEE Symposium on, Honolulu, HI, p.156--161 (2007)
Keywords: artificial immune systems
; cellular neural nets
; image sequences
In this paper, we show that the earlier presented immune response
inspired algorithmic framework in the work of Gy. Cserey et al.
(2006, 2004) for spatial-temporal target detection applications
using CNN technology by T. Roska and L.O. Chua (1993, 2002) and
T. Roska (2002) can be implemented on the latest CNN-UM chip
(Acel6k) by A. Rodriguez-Vazquez (2004) and Bi-i system by A.
Zarandy and C. Rekcezky (2005). The implementation of the
algorithm is real-time and able to detect novelty events in
image flows reliably, running 10000 templates/s with video-
frame (25 frame/s) speed and on image size of 128 times 128.
Besides that some results of the implementation of this AIS
model and its application for natural image flows are shown,
the realized adaptation and mutation methods are also